*Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. About the role We are looking for a highly-motivated senior IC who will work with some of Runway’s biggest and most strategic partners. You will be central to our partners’ success in adopting Runway to transform the ways they create content. Success in this role will require a mix of technical fluency, strategic thinking, and hands-on execution. This role reports to the Head of Ops & Partnerships and works alongside various teams at Runway. What you’ll do - Own and maintain strong relationships with our top partners ensuring long-term alignment and collaboration. Runway’s partners include Fortune 100 companies, some of the largest Hollywood studios, award-winning advertising and marketing agencies, leading technology companies, e-commerce platforms, and more. - Get embedded within accounts to learn and understand their (content) pain points and challenges today, then propose discrete ways in which Runway can solve those challenges - Identify and prototype specific and highly targeted new markets and new opportunities for our products - Develop a deep, functional and technical understanding of our products and future roadmap - Be hands-on in quickly onboarding new partners to our platform and/or API while also supporting their long-term expansion and technical understanding of how to leverage Runway - Provide high-impact feedback to Product, Engineering, and Creative which can in turn improve the product experience for our partners - Analyze, track, and report on the performance of existing partnerships leveraging BI tools and data What you’ll need - 5+ years of overall experience in customer-facing roles, engaging C-level technical audiences with complex global organizations ideally within tech, finance, or consulting - Have led complex implementations of Generative AI/traditional ML solutions and can drive measurable business outcomes - Ability to work in a fast-paced, dynamic environment and manage multiple priorities with expansive ownership and ruthlessly prioritize - A strong bias towards action and belief that no task is too small for you - Have a track record of rapidly prototyping ideas and a willingness to work iteratively with your customers to deliver the right solution that solves their problem - Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders - High technical aptitude for understanding complex technologies, tools, systems, and issues - Mindset to think creatively and think beyond past checklists and playbooks - Highly resourceful with the ability to create structure and work autonomously amidst ambiguity - Experience with data tooling and BI systems (SQL, BigQuery, Retool, etc) - New York or SF-based preferred Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. OTE: $145,000-$290,000

• Evolve and align sales capability programs to reflect current GTM priorities, pipeline realities, and segment-specific complexity (Enterprise, Commercial, Specialists, regional variations) • Act as an experienced sales coach and mentor on sales process, methodology, and applied in-deal execution • Design and build programs tied directly to active opportunities, territory planning, and forecast discipline, incorporating real deal scenarios and competitive context • Lead immersive, high-impact workshops (virtual and in-person) focused on value selling, executive engagement, discovery, negotiation, and MEDDPICC • Partner with frontline leaders to embed behaviors into deal reviews, pipeline inspections, territory planning, and forecast calls • Track and measure outcomes by linking adoption and behavioral change to opportunity quality, forecast accuracy, and seller confidence • Leverage AI-enabled tools to increase practice frequency, coaching consistency, and reinforcement at scale

• Work closely with Heads of Maintenance, Engineering Leaders, and Operations teams to understand: - Maintenance strategies and maturity - Preventive vs reactive ratios - Labour utilisation and workforce efficiency - Spare parts management and inventory control • Define and structure **AI use cases** that address: - Reduction in reactive maintenance - Optimisation of preventive maintenance schedules - Labour efficiency and workforce planning - Spare parts forecasting and cost reduction - Asset lifecycle optimisation • Develop and lead **Proof of Concepts (PoCs)** that validate: - Operational improvements - Cost savings - Performance uplift • Translate business requirements into clear **scope of works** for DataMax AI R&D teams • Ensure AI solutions integrate effectively with **EAM/CMMS platforms (Maximo preferred)** and align with real operational workflows • Build clear **ROI models**, ensuring every solution delivers measurable impact across: - Maintenance costs - Asset uptime - Labour efficiency - Inventory and working capital • Support clients in adopting solutions that improve their infrastructure, operations, and long-term asset strategy

Agentic AI Engineer Enterprise Integrations, Intelligent Automation & AI Platform Delivery Department: IT & Digital Transformation Reports to: Sr. Director, Infrastructure & BI Type: 6 month contract Location: Remote - US The Opportunity Accuris Technologies is executing a company-wide AI transformation across 40+ initiatives spanning Finance, Sales, Marketing, Legal, RevOps, Product, HR, and Customer Experience. We have a funded roadmap, active enterprise AI licenses, and governed integrations already live across our core systems. We are looking for an Agentic AI Engineer to lead technical delivery-building connectors, agents, and workflows that transform our CRM, ERP, HRIS, and data platforms into a unified, natural-language-driven experience. This role will bring our AI strategy to life through real, production-grade systems. Core Responsibilities - Design and build agentic systems that orchestrate across ERP, CRM, data warehouse, HRIS, and BI platforms - Develop multi-step AI workflows including tool selection, data retrieval, reasoning, and response generation - Build and extend enterprise integrations, including authentication (OAuth, SSO) and RBAC enforcement - Deliver AI-powered business solutions such as pricing engines, SDR automation, contract workflows, and executive dashboards - Implement governance frameworks including audit logging, data lineage, and PII protection - Partner with business teams to translate workflows into AI-enabled solutions - Drive adoption through reusable prompts, tools, and training for non-technical users What We're Looking For - 3+ years building API integrations with CRM, ERP, or HRIS systems - Strong Python experience with LLM APIs and SDKs - Experience with agentic architectures (tool use, function calling, multi-step workflows) - Familiarity with AI frameworks (LangChain, MCP, or similar) - Experience with OAuth, SSO/SAML, and enterprise authentication - Background in data platforms, BI tools, and enterprise data governance (RBAC, row-level security) What Sets You Apart - Experience building production AI systems connected to live enterprise data - Strong systems thinking across integrations, permissions, and reliability - Track record of delivering AI tools adopted by business users - Ability to translate business problems into multi-system AI workflows - Experience in pricing, contract management, or revenue operations systems How We Evaluate Candidates - Agentic Architecture: designing autonomous, multi-system AI workflows - Enterprise Integration: building and managing production integrations - Business Delivery: shipping end-to-end solutions (pricing, SDR, CLM, etc.) - Governance & Adoption: ensuring trust, usage, and measurable impact Why Join Us This is not a research role-we have a live platform, a funded roadmap, and strong executive alignment. You'll play a key role in building an AI-native enterprise by connecting systems, deploying agents, and driving real adoption. Apply with your resume and a brief note on why this role interests you. Optionally include links to relevant systems or integrations you've built. },"hasVirtualLocation":true,"postingLocations":[{"formattedAddress":"United States","locationId":10,"locationType":2,"isoCountryCode":"US","stateCode":null,"cityName":null,"coordinates":{"lat":38.7945952,"lng":-106.5348379}}],"jobPostingAttributes":[{"name":"JobFamily","value":"Contractors","type":"string